JP3519550B2 - Signal analyzer - Google Patents
Signal analyzerInfo
- Publication number
- JP3519550B2 JP3519550B2 JP19906396A JP19906396A JP3519550B2 JP 3519550 B2 JP3519550 B2 JP 3519550B2 JP 19906396 A JP19906396 A JP 19906396A JP 19906396 A JP19906396 A JP 19906396A JP 3519550 B2 JP3519550 B2 JP 3519550B2
- Authority
- JP
- Japan
- Prior art keywords
- signal
- characteristic
- pulse
- radio wave
- characteristic information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
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- Radar Systems Or Details Thereof (AREA)
Description
【０００１】[0001]
【発明の属する技術分野】本発明は、目標物であるレー
ダ等の電波源から到来する信号を受信して、受信信号の
各種信号諸元を測定することでその信号の特徴を抽出
し、信号の分類を行う信号分析装置に関する。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention receives a signal coming from a radio wave source such as a radar, which is a target, and measures various signal specifications of the received signal to extract characteristics of the signal, The present invention relates to a signal analysis device that classifies.
【０００２】[0002]
【従来の技術】従来、例えばレーダ送信信号の特徴抽出
方法としては、信号諸元の中のパルス列を用いて行って
いる。図２は従来の信号分析装置の構成を示すもので、
狭帯域受信機１により対象信号を受信し、パルス列特性
測定回路２により狭帯域受信機１で受信された検波信号
をＡ／Ｄ変換してパルス列の時間軸情報（パルス繰り返
し時間、パルス幅）を測定した後、電波源識別部３に入
力する。この電波源識別部３は、測定したパルス列の時
間軸情報について、予め測定したパルス列の時間軸情報
が電波源別に格納されている電波源特徴データベース４
を参照し、測定したパルス列の時間軸情報と同じものを
検索することで、電波源を識別する。2. Description of the Related Art Conventionally, for example, as a characteristic extraction method of a radar transmission signal, a pulse train in signal specifications is used. FIG. 2 shows the configuration of a conventional signal analyzer,
The narrowband receiver 1 receives the target signal, and the pulse train characteristic measurement circuit 2 A / D converts the detection signal received by the narrowband receiver 1 to obtain time-axis information (pulse repetition time, pulse width) of the pulse train. After the measurement, the signal is input to the radio wave source identification unit 3. The radio wave source identification unit 3 has a radio wave source characteristic database 4 in which, with respect to measured time series information of pulse trains, time base information of previously measured pulse trains is stored for each radio wave source.
The radio wave source is identified by referring to and searching for the same time-axis information of the measured pulse train.
【０００３】上記構成による従来の信号分析装置では、
信号の分類方法としてパルス列の時間軸情報から特徴を
抽出して行っており、パルス列特性測定回路２において
パルス列のパルス繰り返し時間及びパルス幅をある一定
数測定して平均化処理を行い、パルス繰り返し時間及び
パルス幅を算出することにより、パルス列信号の特徴を
抽出する。そして、電波源識別部３にて、抽出したパル
ス列の時間軸情報を、電波源特徴データベース４に記憶
されているパルス列の時間軸情報と比較照合し、同じ情
報であると認識された場合に、その特徴を有する電波源
を特定して、識別出力する。In the conventional signal analysis device having the above structure,
As a signal classification method, the characteristics are extracted from the time-axis information of the pulse train, and the pulse train characteristic measuring circuit 2 measures a certain number of pulse repetition times and pulse widths of the pulse train to perform averaging processing, and then the pulse repetition time. And the pulse width is calculated to extract the characteristics of the pulse train signal. Then, the radio wave source identifying unit 3 compares and collates the time axis information of the extracted pulse train with the time axis information of the pulse train stored in the radio wave source characteristic database 4, and when the same information is recognized, The radio wave source having the characteristic is specified and identification output is performed.
【０００４】しかしながら、技術の進歩により、最近の
レーダ等に用いられる送信源には、数パルス毎にパルス
列が変わる信号、一つのパルス列内のパルス繰り返し時
間が１パルス毎に異なる信号等を送信するものが出てき
た。このような複雑なパルス列信号に対して、従来の信
号分析装置ではパルス繰り返し時間及びパルス幅を平均
化してしまうため、時間軸の特徴を抽出することができ
ず、信号の分類を行うのが困難になってきている。However, due to technological advances, a transmission source used in a recent radar or the like transmits a signal in which a pulse train changes every few pulses, a signal in which a pulse repetition time in one pulse train changes every pulse, and the like. Things came out. In such a complicated pulse train signal, the conventional signal analyzer averages the pulse repetition time and the pulse width, so that the feature of the time axis cannot be extracted and it is difficult to classify the signals. Is becoming.
【０００５】[0005]
【発明が解決しようとする課題】以上述べたように従来
の信号分析装置では、複雑なパルス列信号の特徴抽出が
困難であった。本発明は上記の問題を解決し、複雑なパ
ルス列信号についても特徴抽出が可能で、かつ信号の分
類時間を短縮可能な信号分析装置を提供することを目的
とする。As described above, it has been difficult for the conventional signal analyzer to extract features of a complicated pulse train signal. SUMMARY OF THE INVENTION It is an object of the present invention to solve the above problems and to provide a signal analysis device capable of extracting features even for complex pulse train signals and shortening the signal classification time.
【０００６】[0006]
【課題を解決するための手段】上記の課題を解決するた
めに本発明に係る信号分析装置は、予め既知の電波源か
ら送出されるパルス列信号の各パルスに関する特徴情報
を格納して電波源のデータベースを構築するデータベー
ス部と、入力パルス列信号の各パルスについて前記デー
タベース部に格納される特徴情報を測定する特徴情報測
定手段と、この特徴情報測定手段で測定された特徴情報
を前記データベース部に格納される特徴情報と比較照合
して一致する特徴情報を検索し、該当する電波源を分析
結果として出力する電波源識別手段とを具備して構成さ
れる。In order to solve the above-mentioned problems, a signal analyzer according to the present invention stores characteristic information about each pulse of a pulse train signal sent from a known radio wave source in advance to store the feature information of the radio wave source. A database unit that constructs a database, a characteristic information measuring unit that measures the characteristic information stored in the database unit for each pulse of the input pulse train signal, and the characteristic information measured by the characteristic information measuring unit is stored in the database unit. It is configured to include radio wave source identification means for comparing and collating with the feature information to search for the coincident feature information and outputting the corresponding radio wave source as an analysis result.
【０００７】特に、前記データベース部、特徴情報測定
手段は、それぞれパルス内の振幅特性、周波数特性、位
相の変化特性、立ち上がり時間、立ち下がり時間のうち
の少なくともいずれかを取り扱う。In particular, the database section and the characteristic information measuring means handle at least one of the amplitude characteristic, frequency characteristic, phase change characteristic, rising time and falling time in the pulse.
【０００８】また、前記電波源識別手段は、比較照合の
結果、一致する特徴情報がなかったとき、測定した特徴
情報を電波源に対応付けて分類し、前記データベース部
に格納することで、次回の識別に利用する。Further, when there is no matching feature information as a result of comparison and collation, the radio wave source identifying means classifies the measured feature information in association with the radio wave source and stores the feature information in the database unit. It is used to identify.
【０００９】また、前記特徴情報測定手段は、入力パル
ス列信号をデジタル化し、パルス毎にメモリに記憶して
おき、個々のパルスのデジタル信号を順次読出して特徴
情報を測定する。The characteristic information measuring means digitizes the input pulse train signal, stores it in a memory for each pulse, and sequentially reads the digital signal of each pulse to measure the characteristic information.
【００１０】すなわち、本発明による信号分析装置は、
パルス内の振幅、周波数、位相の変化特性、立上がり時
間、立ち下がり時間の少なくともいずれかを測定し、信
号の特徴を抽出することにより信号の分類を行う。ま
た、従来複数のパルスを必要としていた信号の分類が１
パルスでも可能となることにより、信号の分類時間が短
縮できる。That is, the signal analyzer according to the present invention is
Signals are classified by measuring at least one of the amplitude, frequency, phase change characteristics, rise time, and fall time in the pulse and extracting the characteristics of the signal. In addition, the classification of signals that conventionally required multiple pulses is 1
Since it is possible to use pulses, the signal classification time can be shortened.
【００１１】[0011]
【発明の実施の形態】以下、図１を参照して本発明の実
施の形態を詳細に説明する。図１は本発明に係る信号分
析装置の構成を示すものである。図１において、広帯域
受信機１１は対象信号を受信するもので、この受信信号
は高速Ａ／Ｄ（アナログ／デジタル）変換回路１２でデ
ジタル信号に高速変換された後、メモリ回路１３に入力
される。このメモリ回路１３は、高速Ａ／Ｄ変換回路１
２でデジタル変換された信号をパルス毎に抽出して、そ
のパルス内の搬送波波形データを記憶するものである。BEST MODE FOR CARRYING OUT THE INVENTION Embodiments of the present invention will be described in detail below with reference to FIG. FIG. 1 shows the configuration of a signal analyzer according to the present invention. In FIG. 1, a wide band receiver 11 receives a target signal, and this received signal is converted into a digital signal at a high speed by an A / D (analog / digital) conversion circuit 12 and then input to a memory circuit 13. . This memory circuit 13 includes a high-speed A / D conversion circuit 1
The signal digitally converted in 2 is extracted for each pulse, and the carrier waveform data in the pulse is stored.
【００１２】振幅特性測定回路１４はメモリ回路１３に
記憶された波形データから振幅特性（立ち上がり、立ち
下がり時間も含む）を測定し、周波数特性測定回路１５
はメモリ回路１３に記憶された波形データから搬送波周
波数を測定し、位相特性測定回路１６はメモリ回路１３
に記憶された波形データから位相特性を測定する。各測
定回路１４〜１６の測定結果は電波源識別部１７に入力
され、必要に応じて信号特性データベース１８に入力さ
れる。The amplitude characteristic measuring circuit 14 measures the amplitude characteristic (including the rising and falling times) from the waveform data stored in the memory circuit 13, and the frequency characteristic measuring circuit 15
Measures the carrier frequency from the waveform data stored in the memory circuit 13, and the phase characteristic measuring circuit 16 measures the carrier frequency.
The phase characteristic is measured from the waveform data stored in. The measurement results of the respective measurement circuits 14 to 16 are input to the radio wave source identification unit 17, and are input to the signal characteristic database 18 as needed.
【００１３】信号特性データベース１８には、予め既知
の電波源について測定した振幅特性、周波数特性、位相
特性の情報が電波源別に格納されており、電波源識別部
１７は入力した測定結果について信号特性データベース
１８の格納情報と比較照合し、一致する特性があると
き、これに対応する電波源を識別出力するものである。The signal characteristic database 18 stores information on amplitude characteristics, frequency characteristics, and phase characteristics measured in advance for known radio wave sources for each radio wave source. The information is compared and collated with the information stored in the database 18, and when there is a matching characteristic, the radio wave source corresponding to this is identified and output.
【００１４】ここで、電波源識別部１７は、比較照合の
結果、一致する特性がなかったとき、信号特性データベ
ース１８に測定した振幅特性、周波数特性、位相特性を
次回には識別可能なように追加しておく。Here, when there is no matching characteristic as a result of comparison and collation, the radio wave source identifying section 17 identifies the amplitude characteristic, frequency characteristic, and phase characteristic measured in the signal characteristic database 18 next time. I will add it.
【００１５】上記構成において、以下にその動作を説明
する。レーダ等の送信装置は、送信管、変調器、電源等
の電気的特性の違いや、アンテナとのＶＳＷＲ、機材の
整備状態によって出力波形に様々な影響を与える。この
影響は、パルス内の振幅、位相及び周波数特性に現れ、
人間の指紋のような送信装置固有の特徴となる。これら
の特性は送信側で意図して変えることができないため、
送信装置を識別する重要な情報となる。The operation of the above configuration will be described below. A transmission device such as a radar has various influences on an output waveform depending on a difference in electrical characteristics of a transmission tube, a modulator, a power supply, a VSWR with an antenna, and a maintenance state of equipment. This effect appears in the amplitude, phase and frequency characteristics within the pulse,
It is a characteristic peculiar to the transmitting device, such as a human fingerprint. Since these characteristics cannot be changed intentionally on the sender side,
This is important information for identifying the transmitting device.
【００１６】そこで、本発明に係る信号分析装置は、パ
ルス内の振幅、周波数、位相の変化特性、立上がり、立
ち下がり時間を測定し、信号の特徴を抽出することによ
り、信号の分類を行う。Therefore, the signal analyzing apparatus according to the present invention classifies the signals by measuring the amplitude, frequency, and phase change characteristics in the pulse, the rise and fall times, and extracting the characteristics of the signals.
【００１７】具体的には、広帯域受信機１１で受信した
信号を高速Ａ／Ｄ変換回路１２でデジタル変換し、パル
ス毎にメモリ回路１３に記憶する。このメモリ回路１３
から記憶されたデジタル信号を順次読み出し、振幅特性
測定回路１４で振幅特性（立ち上がり、立ち下がり時間
も含む）、周波数特性測定回路１５で周波数特性、位相
特性測定回路１６で位相特性をパルス毎に測定し、電波
源識別部１７で測定した波形の特徴と信号特性データベ
ース１８に記憶されている信号の特徴を比較照合するこ
とにより、信号の分類を行う。Specifically, the signal received by the wide band receiver 11 is digitally converted by the high speed A / D conversion circuit 12 and stored in the memory circuit 13 for each pulse. This memory circuit 13
The stored digital signals are sequentially read out, and the amplitude characteristic measuring circuit 14 measures the amplitude characteristic (including the rising and falling times), the frequency characteristic measuring circuit 15 measures the frequency characteristic, and the phase characteristic measuring circuit 16 measures the phase characteristic for each pulse. Then, the characteristics of the waveform measured by the radio wave source identifying unit 17 and the characteristics of the signal stored in the signal characteristic database 18 are compared and collated to classify the signals.
【００１８】ここで、信号特性データベース１８には、
情報の特徴がデータベース化されている。また、データ
ベースにない波形がある場合は、測定された特徴をデー
タベースに書き込むことにより、次回からは分類できる
ようになる。また、広帯域受信機１１で受信した信号の
替りに、一時記録し再生信号でも分類が可能である。Here, in the signal characteristic database 18,
A database of information features. Also, if there is a waveform that is not in the database, it will be possible to classify it from the next time by writing the measured characteristics in the database. Further, instead of the signal received by the wideband receiver 11, it is possible to classify even the recorded signal and the reproduced signal.
【００１９】したがって、上記構成による信号分析装置
によれば、未知のパルス列信号に対しては電波源の分類
はできないが、パルス内の振幅、周波数、位相の変化特
性、立上がり、立ち下がり時間を測定し、信号の特徴を
抽出することにより、既知のパルス列信号に対しては複
雑なパルス列信号の場合でも送信装置の分類が可能とな
る。しかも、従来複数のパルスを必要としていた信号の
分類が１パルスでも可能となることにより、信号の分類
時間を短縮することができる。また、以上の分類方法
は、従来からの分類方法と組み合わせることにより、よ
り精度の高い信号の分類を行うことができる。Therefore, according to the signal analysis apparatus having the above-mentioned configuration, the radio wave source cannot be classified with respect to an unknown pulse train signal, but the amplitude, frequency, and phase change characteristics within the pulse, and the rise and fall times are measured. However, by extracting the characteristic of the signal, it becomes possible to classify the known pulse train signal of the transmitting device even in the case of a complicated pulse train signal. Moreover, since it is possible to classify a signal, which has conventionally required a plurality of pulses, with one pulse, it is possible to shorten the signal classification time. Also, the above classification method can perform more accurate signal classification by combining with the conventional classification method.
【００２０】[0020]
【発明の効果】以上のように本発明によれば、複雑なパ
ルス列信号についても特徴抽出が可能で、かつ分類時間
を短縮可能な信号分析装置を提供することができる。As described above, according to the present invention, it is possible to provide a signal analysis device capable of extracting features even from a complex pulse train signal and shortening the classification time.
【図１】本発明に係る信号分析装置の一実施形態の構成
を示すブロック図。FIG. 1 is a block diagram showing the configuration of an embodiment of a signal analysis device according to the present invention.
【図２】従来の信号分析装置の構成を示すブロック図。FIG. 2 is a block diagram showing the configuration of a conventional signal analysis device.
１…狭帯域受信機 ２…パルス列特性測定回路 ３…電波源識別部 ４…電波源特徴データベース １１…広帯域受信機 １２…高速Ａ／Ｄ変換回路 １３…メモリ回路 １４…振幅特性測定回路 １５…周波数特性測定回路 １６…位相特性測定回路 １７…電波源識別部 １８…信号特性データベース 1 ... Narrow band receiver 2 ... Pulse train characteristic measurement circuit 3 ... Radio source identification unit 4… Radio source characteristics database 11 ... Broadband receiver 12 ... High-speed A / D conversion circuit 13 ... Memory circuit 14 ... Amplitude characteristic measuring circuit 15 ... Frequency characteristic measuring circuit 16 ... Phase characteristic measurement circuit 17 ... Radio source identification unit 18 ... Signal characteristics database
───────────────────────────────────────────────────── フロントページの続き (56)参考文献 特開 平６−242222（ＪＰ，Ａ) 特開 平４−19587（ＪＰ，Ａ) 特開 平８−75437（ＪＰ，Ａ) 特開 平４−109187（ＪＰ，Ａ) 特開 平５−172930（ＪＰ，Ａ) 特開 平１−219581（ＪＰ，Ａ) 実開 昭63−268（ＪＰ，Ｕ) (58)調査した分野(Int.Cl.7，ＤＢ名) G01S 7/00 - 7/48 G01S 13/00 - 13/95 ─────────────────────────────────────────────────── ─── Continuation of the front page (56) Reference JP-A-6-242222 (JP, A) JP-A-4-19587 (JP, A) JP-A-8-75437 (JP, A) JP-A-4- 109187 (JP, A) JP-A-5-172930 (JP, A) JP-A-1-219581 (JP, A) Actual development Sho 63-268 (JP, U) (58) Fields investigated (Int.Cl. 7 , DB name) G01S 7 /00-7/48 G01S 13/00-13/95
Claims (3)
信号の各パルスに関する特徴情報を格納して電波源のデ
ータベースを構築するデータベース部と、 入力パルス列信号の各パルスについて前記データベース
部に格納される特徴情報を測定する特徴情報測定手段
と、 この特徴情報測定手段で測定された特徴情報を前記デー
タベース部に格納される特徴情報と比較照合して一致す
る特徴情報を検索し、該当する電波源を分析結果として
出力する電波源識別手段とを具備し、 前記データベース部、特徴情報測定手段は、それぞれパ
ルス内の振幅特性、周波数特性、位相の変化特性、立ち
上がり時間、立ち下がり時間のうちの少なくともいずれ
かを取り扱う ことを特徴とする信号分析装置。1. A database section for preliminarily storing characteristic information about each pulse of a pulse train signal transmitted from a known radio wave source to construct a database of a radio wave source, and a database section for storing each pulse of an input pulse train signal in the database section. Characteristic information measuring means for measuring the characteristic information, and the characteristic information measured by the characteristic information measuring means is compared and collated with the characteristic information stored in the database section to retrieve the matching characteristic information, and the corresponding radio wave source is searched. ; and a radio source identification means for outputting the results of the analysis, the database unit, wherein the information measuring unit, Pa respectively
Amplitude characteristic, frequency characteristic, phase change characteristic, standing
At least either rise time or fall time
A signal analysis device characterized by handling
一致する特徴情報がなかったとき、測定した特徴情報を
電波源に対応付けて分類し、前記データベース部に格納
して次回の識別に利用することを特徴とする請求項１記
載の信号分析装置。2. The radio wave source identification means, as a result of comparison and collation,
2. The signal analysis device according to claim 1, wherein when there is no matching feature information, the measured feature information is classified by being associated with the radio wave source, stored in the database unit, and used for the next identification.
号をデジタル化し、パルス毎にメモリに記憶しておき、
個々のパルスのデジタル信号を順次読出して特徴情報を
測定することを特徴とする請求項１記載の信号分析装
置。3. The characteristic information measuring means digitizes an input pulse train signal and stores it in a memory for each pulse,
2. The signal analysis device according to claim 1, wherein the digital signal of each pulse is sequentially read to measure the characteristic information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP19906396A JP3519550B2 (en) | 1996-07-29 | 1996-07-29 | Signal analyzer |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP19906396A JP3519550B2 (en) | 1996-07-29 | 1996-07-29 | Signal analyzer |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JPH1039003A JPH1039003A (en) | 1998-02-13 |
| JP3519550B2 true JP3519550B2 (en) | 2004-04-19 |
Family
ID=16401500
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP19906396A Expired - Fee Related JP3519550B2 (en) | 1996-07-29 | 1996-07-29 | Signal analyzer |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JP3519550B2 (en) |
Families Citing this family (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2988422B2 (en) * | 1997-03-26 | 1999-12-13 | 三菱電機株式会社 | Pulse signal receiving device |
| JP3529627B2 (en) * | 1998-06-02 | 2004-05-24 | 株式会社東芝 | Pulse signal receiving device |
| JP3449269B2 (en) * | 1998-12-22 | 2003-09-22 | 三菱電機株式会社 | Orientation detection device |
| JP3588561B2 (en) * | 1999-03-23 | 2004-11-10 | 株式会社東芝 | Receiver |
| JP3532784B2 (en) * | 1999-03-24 | 2004-05-31 | 株式会社東芝 | Pulse signal receiving apparatus and pulse arrangement method |
| JP2000292536A (en) * | 1999-04-08 | 2000-10-20 | Nec Corp | Device and method for radiolocation |
| JP2000298165A (en) * | 1999-04-15 | 2000-10-24 | Mitsubishi Electric Corp | Pulse modulation signal identifying device and radar signal identifying device |
| JP3776329B2 (en) * | 2001-04-04 | 2006-05-17 | 三菱電機株式会社 | Radar identification device |
| JP2003035761A (en) * | 2001-07-25 | 2003-02-07 | Mitsubishi Electric Corp | Direction finder and direction finding method |
| JP3929783B2 (en) * | 2002-01-29 | 2007-06-13 | 日本信号株式会社 | Wireless communication device |
| JP3766340B2 (en) * | 2002-03-19 | 2006-04-12 | 株式会社東芝 | Pulse signal analyzing apparatus and pulse signal analyzing method |
| JP2004271383A (en) * | 2003-03-10 | 2004-09-30 | Toshiba Corp | Signal analyzer, and analytical method for signal |
| JP4869797B2 (en) * | 2006-06-08 | 2012-02-08 | 三菱電機株式会社 | Approach detection system |
| JP4908185B2 (en) * | 2006-12-25 | 2012-04-04 | 三菱電機株式会社 | Radar wave identification device |
| JP4895911B2 (en) * | 2007-05-14 | 2012-03-14 | 三菱電機株式会社 | Pulse modulation signal train identification device |
| JP6858637B2 (en) * | 2017-05-23 | 2021-04-14 | 三菱電機株式会社 | Radio wave characteristic analyzer |
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1996
- 1996-07-29 JP JP19906396A patent/JP3519550B2/en not_active Expired - Fee Related
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| Publication number | Publication date |
|---|---|
| JPH1039003A (en) | 1998-02-13 |
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